A novel approach to the creation of a labelling lexicon for improving emotion analysis in text

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alejandra Segura Navarrete ◽  
Claudia Martinez-Araneda ◽  
Christian Vidal-Castro ◽  
Clemente Rubio-Manzano
Keyword(s):  
Hybrid Approach ◽  
Software Tool ◽  
Gender Violence ◽  
Target Language ◽  
Automatic Process ◽  
Emotion Analysis ◽  
Content Type ◽  
Novel Approach ◽  
Emotion Lexicon ◽  
And Gender

Purpose This paper aims to describe the process used to create an emotion lexicon enriched with the emotional intensity of words and focuses on improving the emotion analysis process in texts. Design/methodology/approach The process includes setting, preparation and labelling stages. In the first stage, a lexicon is selected. It must include a translation to the target language and labelling according to Plutchik’s eight emotions. The second stage starts with the validation of the translations. Then, it is expanded with the synonyms of the emotion synsets of each word. In the labelling stage, the similarity of words is calculated and displayed using WordNet similarity. Findings The authors’ approach shows better performance to identification of the predominant emotion for the selected corpus. The most relevant is the improvement obtained in the results of the emotion analysis in a hybrid approach compared to the results obtained in a purist approach. Research limitations/implications The proposed lexicon can still be enriched by incorporating elements such as emojis, idioms and colloquial expressions. Practical implications This work is part of a research project that aids in solving problems in a digital society, such as detecting cyberbullying, abusive language and gender violence in texts or exercising parental control. Detection of depressive states in young people and children is added. Originality/value This semi-automatic process can be applied to any language to generate an emotion lexicon. This resource will be available in a software tool that implements a crowdsourcing strategy allowing the intensity to be re-labelled and new words to be automatically incorporated into the lexicon.

A product-technology portfolio alignment approach for food industry: a multi-criteria decision making with z-numbers

2020 ◽  
Vol 122 (12) ◽  
pp. 3947-3967 ◽  
Author(s):  
Nima Garousi Mokhtarzadeh ◽  
Hannan Amoozad Mahdiraji ◽  
Vahid Jafari-Sadeghi ◽  
Arash Soltani ◽  
AliAsghar Abbasi Kamardi
Keyword(s):  
Decision Making ◽  
Food Industry ◽  
Hybrid Approach ◽  
Multicriteria Decision Making ◽  
Product Portfolio ◽  
Content Type ◽  
Novel Approach ◽  
Production Technologies ◽  
Product Technology ◽  
Technology Matrix

PurposeTo design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry.Design/methodology/approachA list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company.FindingsBy employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products.Originality/valueThe combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.

Mexico abortion and gender violence anger will build

2020 ◽  
Keyword(s):  
Gender Violence ◽  
Content Type ◽  
And Gender

Headline MEXICO: Abortion and gender violence anger will build

Mexico gender equality is elusive despite progress

2018 ◽  
Keyword(s):  
Gender Equality ◽  
Political Violence ◽  
Gender Discrimination ◽  
Gender Violence ◽  
Women In Politics ◽  
Content Type ◽  
Gender Parity ◽  
Female Politicians ◽  
President Elect ◽  
And Gender

Subject Women in politics. Significance With eight women nominated to the 17-minister cabinet of President-elect Andres Manuel Lopez Obrador (AMLO), the incoming National Regeneration Movement (Morena) administration will be Mexico’s most gender balanced ever. Similarly, both chambers of the federal Congress formally established on August 29 have achieved near-gender parity. States and municipalities across the country saw the share of female politicians increase significantly in the July 1 elections. Impacts Gender equality will not be achievable until all states issue laws that define and penalise political violence against women. Efforts to end all forms of political gender violence -- physical, psychological, sexual and economic -- will be required. Indigenous women, facing racial and gender discrimination, will struggle to increase their participation in politics.

scholarly journals Between comments and repeat visit: capturing repeat visitors with a hybrid approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jina Kim ◽  
Yeonju Jang ◽  
Kunwoo Bae ◽  
Soyoung Oh ◽  
Nam Jeong Jeong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Service Industry ◽  
Hybrid Approach ◽  
Learning Approaches ◽  
The Novel ◽  
Content Type ◽  
Machine Learning Classifiers ◽  
Learning Classifiers ◽  
Novel Approach ◽  
Repeat Visit

PurposeUnderstanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation platform, and explores their postbehaviors from their reviews.Design/methodology/approachThe authors employ two different approaches and compare the accuracy of predicting customers' post behavior: (1) using several machine learning classifiers based on sentimental dimensions of customers' reviews and (2) conducting the experiment consisted of two subsections. In the experiment, the first subsection is designed for participants to predict whether customers who wrote reviews would visit the hotel again (referred to as Prediction), while the second subsection examines whether participants want to visit one of the particular hotels when they read other customers' reviews (dubbed as Decision).FindingsThe accuracy of the machine learning approaches (73.23%) is higher than that of the experimental approach (Prediction: 58.96% and Decision: 64.79%). The key reasons of users' predictions and decisions are identified through qualitative analyses.Originality/valueThe findings reveal that using machine learning approaches show the higher accuracy of predicting customers' repeat visits only based on employed sentimental features. With the novel approach of integrating customers' decision processes and machine learning classifiers, the authors provide valuable insights for researchers and providers of hospitality services.

A cell-based smoothed point interpolation method (CS-PIM) for 2D thermoelastic problems

2017 ◽  
Vol 27 (6) ◽  
pp. 1249-1265 ◽  
Author(s):  
Yijun Liu ◽  
Guiyong Zhang ◽  
Huan Lu ◽  
Zhi Zong
Keyword(s):  
Thermal Stresses ◽  
Interpolation Method ◽  
Content Type ◽  
Novel Approach ◽  
Convergence Results ◽  
Point Interpolation Method ◽  
Point Interpolation ◽  
Thermoelastic Problems ◽  
Gradient Smoothing ◽  
Practical Implications

Purpose Due to the strong reliance on element quality, there exist some inherent shortcomings of the traditional finite element method (FEM). The model of FEM behaves overly stiff, and the solutions of automated generated linear elements are generally of poor accuracy about especially gradient results. The proposed cell-based smoothed point interpolation method (CS-PIM) aims to improve the results accuracy of the thermoelastic problems via properly softening the overly-stiff stiffness. Design/methodology/approach This novel approach is based on the newly developed G space and weakened weak (w2) formulation, and of which shape functions are created using the point interpolation method and the cell-based gradient smoothing operation is conducted based on the linear triangular background cells. Findings Owing to the property of softened stiffness, the present method can generally achieve better accuracy and higher convergence results (especially for the temperature gradient and thermal stress solutions) than the FEM does by using the simplest linear triangular background cells, which has been examined by extensive numerical studies. Practical implications The CS-PIM is capable of producing more accurate results of temperature gradients as well as thermal stresses with the automated generated and unstructured background cells, which make it a better candidate for solving practical thermoelastic problems. Originality/value It is the first time that the novel CS-PIM was further developed for solving thermoelastic problems, which shows its tremendous potential for practical implications.

Coloniality of White Feminism and Its Transphobia: A Comment on Burt

2021 ◽  
pp. 155708512199133
Author(s):  
Nishant Upadhyay
Keyword(s):  
Gender Violence ◽  
White Supremacist ◽  
And Gender ◽  
Epistemological Framework

In this comment, I challenge Burt’s colonial epistemological framework in her theorizations of sex, gender, and transness. Drawing upon anti-racist, decolonial, and trans of color feminisms, I argue that transphobia is inherent to white feminisms due to its roots in colonialism. Heteropatriarchy and cisnormativity are products of colonialism, and feminists who espouse transphobic discourses invariably reproduce colonial and white supremacist frameworks of patriarchy and gender violence.

Feminist Praxis and Gender Violence

2020 ◽  
pp. 411-426
Author(s):  
Claire M. Renzetti ◽  
Margaret Campe
Keyword(s):  
Gender Violence ◽  
And Gender

Semi-automated stair climbing of a wheel hub-based patient transportation aid for emergency medical services

2021 ◽  
Vol 69 (6) ◽  
pp. 550-561
Author(s):  
Mark Verjans ◽  
Lovis Phlippen ◽  
Zongshuo Li ◽  
Philipp Schleer ◽  
Klaus Radermacher
Keyword(s):  
Emergency Medical Services ◽  
Relative Position ◽  
Stair Climbing ◽  
Medical Services ◽  
Automatic Process ◽  
Usability Study ◽  
Emergency Medical ◽  
Manual Adjustment ◽  
Novel Approach ◽  
Subjective Usability

Abstract A novel approach for a patient transportation aid for emergency medical services bases on a wheel hub stair-climbing mechanism, which currently requires a manual adjustment relative to the stair edges. In this paper, an approach for an automation is presented which utilizes two distance sensors to characterize stairs and determine the relative position to them. A controller can then adjust the system’s position automatically. A user supervision concept copes with sensor inaccuracies or errors, resulting in a semi-automatic process. Within a formative usability study ( n = 11 n=11 users) the algorithm was able to reconstruct the stairs and drive the system neither falling down nor colliding with steps. The semi-automatic process reduced climbing time by 59 % and the participants reported a higher subjective usability compared to manual stair climbing.

scholarly journals HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Sonia Setia ◽  
Verma Jyoti ◽  
Neelam Duhan
Keyword(s):  
Web Mining ◽  
Contextual Information ◽  
Hybrid Approach ◽  
Web Pages ◽  
Continuous Growth ◽  
Novel Approach ◽  
Content Mining ◽  
Long Access ◽  
N Gram ◽  
The Individual

The continuous growth of the World Wide Web has led to the problem of long access delays. To reduce this delay, prefetching techniques have been used to predict the users’ browsing behavior to fetch the web pages before the user explicitly demands that web page. To make near accurate predictions for users’ search behavior is a complex task faced by researchers for many years. For this, various web mining techniques have been used. However, it is observed that either of the methods has its own set of drawbacks. In this paper, a novel approach has been proposed to make a hybrid prediction model that integrates usage mining and content mining techniques to tackle the individual challenges of both these approaches. The proposed method uses N-gram parsing along with the click count of the queries to capture more contextual information as an effort to improve the prediction of web pages. Evaluation of the proposed hybrid approach has been done by using AOL search logs, which shows a 26% increase in precision of prediction and a 10% increase in hit ratio on average as compared to other mining techniques.

Family dynamics and gender perspective influencing copreneurship practices

2018 ◽  
Vol 26 (1) ◽  
pp. 14-33 ◽  
Author(s):  
Mário Franco ◽  
Patricia Piceti
Keyword(s):  
Gender Roles ◽  
Empirical Evidence ◽  
Family Dynamics ◽  
Family Firms ◽  
Business Management ◽  
Business Success ◽  
Business Practices ◽  
Content Type ◽  
The Family ◽  
And Gender

Purpose The purpose of this paper is to understand the family dynamics factors and gender roles influencing the functioning of copreneurial business practices, to propose a conceptual framework based on these factors/roles. Design/methodology/approach For this purpose, a qualitative approach was adopted, through the analysis of seven businesses created by copreneurial couples in an emerging economy – Brazil. Data were obtained from an open interview with each member of the selected couples who are in charge of firm management. Findings The empirical evidence obtained shows that the most important factors for successful copreneurial family businesses are professionalization, dividing the couple’s tasks and business management. Trust, communication, flexibility and common goals are other essential relational-based factors for the good functioning of this type of family business and stability in the personal relationship. Practical implications It is clear that professionalization and the separation of positions and functions are fundamental for a balance between business management and the couple’s marital life. When couples are in harmony and considering factors such as trust, communication and flexibility (relational-based factors), the firm’s life-cycle and business success become real and more effective. Originality/value From the family dynamics factors and gender roles, this study focused on one of the most important and integrated family firm relationships, copreneurial couples. As there is little research on the heterogeneity of family firms runs specifically by copreneurial couples, this study is particularly important and innovative in the context of a developing economy, such as Brazil. Based on empirical evidence, this study was proposed an integrative and holistic framework that shows the functioning of copreneurial businesses practices.

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